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Vahab Mirrokni is a distinguished scientist, heading the New York and Zurich algorithms research groups at Google Research. The group consists of three main sub-teams: market algorithms, large-scale graph mining, and large-scale optimization.
He is the co-winner of paper awards at KDD'15, ACM EC'08, and SODA'05. His research areas include algorithms, distributed and stochastic optimization, and computational economics. Recently he has been working on various algorithmic problems in machine learning, online optimization and dynamic mechanism design, and distributed algorithms for large-scale graph mining.
He is the co-winner of paper awards at KDD'15, ACM EC'08, and SODA'05. His research areas include algorithms, distributed and stochastic optimization, and computational economics. Recently he has been working on various algorithmic problems in machine learning, online optimization and dynamic mechanism design, and distributed algorithms for large-scale graph mining.
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Kyriakos Axiotis,Vincent Cohen-Addad,Monika Henzinger, Sammy Jerome,Vahab Mirrokni,David Saulpic,David Woodruff, Michael Wunder
CoRR (2024)
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CoRR (2024)
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ICLR 2023 (2023)
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Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)pp.2677-2727, (2023)
CoRRno. 3 (2023): 1-27
arxiv(2023)
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